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The zones of discrimination for M-Score is as such:
An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator.
An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.
Good Sign:
Beneish M-Score -2.47 no higher than -1.78, which implies that the company is unlikely to be a manipulator.
The historical rank and industry rank for The Trade Desk's Beneish M-Score or its related term are showing as below:
During the past 11 years, the highest Beneish M-Score of The Trade Desk was -1.67. The lowest was -2.83. And the median was -2.42.
The historical data trend for The Trade Desk's Beneish M-Score can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
The Trade Desk Annual Data | |||||||||||||||||||||
Trend | Dec15 | Dec16 | Dec17 | Dec18 | Dec19 | Dec20 | Dec21 | Dec22 | Dec23 | Dec24 | |||||||||||
Beneish M-Score | Get a 7-Day Free Trial |
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-2.37 | -2.52 | -2.83 | -2.57 | -2.47 |
The Trade Desk Quarterly Data | ||||||||||||||||||||
Mar20 | Jun20 | Sep20 | Dec20 | Mar21 | Jun21 | Sep21 | Dec21 | Mar22 | Jun22 | Sep22 | Dec22 | Mar23 | Jun23 | Sep23 | Dec23 | Mar24 | Jun24 | Sep24 | Dec24 | |
Beneish M-Score | Get a 7-Day Free Trial |
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-2.57 | -2.55 | -2.42 | -2.40 | -2.47 |
For the Software - Application subindustry, The Trade Desk's Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
For the Software industry and Technology sector, The Trade Desk's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where The Trade Desk's Beneish M-Score falls into.
The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.
The M-Score Variables:
The M-score of The Trade Desk for today is based on a combination of the following eight different indices:
M | = | -4.84 | + | 0.92 * DSRI | + | 0.528 * GMI | + | 0.404 * AQI | + | 0.892 * SGI | + | 0.115 * DEPI |
= | -4.84 | + | 0.92 * 0.9236 | + | 0.528 * 1.0065 | + | 0.404 * 1.122 | + | 0.892 * 1.2563 | + | 0.115 * 1.1722 | |
- | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI | |||||||
- | 0.172 * 0.8898 | + | 4.679 * -0.056884 | - | 0.327 * 0.9277 | |||||||
= | -2.47 |
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
This Year (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was $3,330 Mil. Revenue was 741.012 + 628.016 + 584.55 + 491.253 = $2,445 Mil. Gross Profit was 605.745 + 505.36 + 474.091 + 387.623 = $1,973 Mil. Total Current Assets was $5,336 Mil. Total Assets was $6,112 Mil. Property, Plant and Equipment(Net PPE) was $473 Mil. Depreciation, Depletion and Amortization(DDA) was $87 Mil. Selling, General, & Admin. Expense(SGA) was $1,082 Mil. Total Current Liabilities was $2,873 Mil. Long-Term Debt & Capital Lease Obligation was $248 Mil. Net Income was 182.229 + 94.158 + 85.029 + 31.66 = $393 Mil. Non Operating Income was 1.334 + -0.711 + -0.045 + 0.715 = $1 Mil. Cash Flow from Operations was 199.401 + 273.324 + 81.259 + 185.472 = $739 Mil. |
Total Receivables was $2,870 Mil. Revenue was 605.797 + 493.266 + 464.254 + 382.803 = $1,946 Mil. Gross Profit was 505.102 + 399.884 + 377.6 + 297.936 = $1,581 Mil. Total Current Assets was $4,314 Mil. Total Assets was $4,889 Mil. Property, Plant and Equipment(Net PPE) was $359 Mil. Depreciation, Depletion and Amortization(DDA) was $80 Mil. Selling, General, & Admin. Expense(SGA) was $968 Mil. Total Current Liabilities was $2,511 Mil. Long-Term Debt & Capital Lease Obligation was $180 Mil. |
1. DSRI = Days Sales in Receivables Index
Measured as the ratio of Revenue in Total Receivables in year t to year t-1.
A large increase in DSR could be indicative of revenue inflation.
DSRI | = | (Receivables_t / Revenue_t) | / | (Receivables_t-1 / Revenue_t-1) |
= | (3330.343 / 2444.831) | / | (2870.313 / 1946.12) | |
= | 1.362198 | / | 1.47489 | |
= | 0.9236 |
2. GMI = Gross Margin Index
Measured as the ratio of gross margin in year t-1 to gross margin in year t.
Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.
GMI | = | GrossMargin_t-1 | / | GrossMargin_t |
= | (GrossProfit_t-1 / Revenue_t-1) | / | (GrossProfit_t / Revenue_t) | |
= | (1580.522 / 1946.12) | / | (1972.819 / 2444.831) | |
= | 0.81214 | / | 0.806935 | |
= | 1.0065 |
3. AQI = Asset Quality Index
AQI is the ratio of asset quality in year t to year t-1.
Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.
AQI | = | (1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) | / | (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1) |
= | (1 - (5336.458 + 473.093) / 6111.951) | / | (1 - (4313.954 + 359.154) / 4888.687) | |
= | 0.049477 | / | 0.044098 | |
= | 1.122 |
4. SGI = Sales Growth Index
Ratio of Revenue in year t to sales in year t-1.
Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.
SGI | = | Sales_t | / | Sales_t-1 |
= | Revenue_t | / | Revenue_t-1 | |
= | 2444.831 | / | 1946.12 | |
= | 1.2563 |
5. DEPI = Depreciation Index
Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.
DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.
DEPI | = | (Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) | / | (Depreciation_t / (Depreciaton_t + PPE_t)) |
= | (80.418 / (80.418 + 359.154)) | / | (87.49 / (87.49 + 473.093)) | |
= | 0.182946 | / | 0.15607 | |
= | 1.1722 |
Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.
6. SGAI = Sales, General and Administrative expenses Index
The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.
SGA expenses index > 1 means that the company is becoming less efficient in generate sales.
SGAI | = | (SGA_t / Sales_t) | / | (SGA_t-1 /Sales_t-1) |
= | (1082.333 / 2444.831) | / | (968.248 / 1946.12) | |
= | 0.442703 | / | 0.497527 | |
= | 0.8898 |
7. LVGI = Leverage Index
The ratio of total debt to Total Assets in year t relative to yeat t-1.
An LVGI > 1 indicates an increase in leverage
LVGI | = | ((LTD_t + CurrentLiabilities_t) / TotalAssets_t) | / | ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1) |
= | ((247.723 + 2873.465) / 6111.951) | / | ((180.369 + 2510.838) / 4888.687) | |
= | 0.51067 | / | 0.550497 | |
= | 0.9277 |
8. TATA = Total Accruals to Total Assets
Total accruals calculated as the change in working capital accounts other than cash less depreciation.
TATA | = | (IncomefromContinuingOperations_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
= | (NetIncome_t - NonOperatingIncome_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t | |
= | (393.076 - 1.293 | - | 739.456) | / | 6111.951 | |
= | -0.056884 |
An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.
The Trade Desk has a M-score of -2.47 suggests that the company is unlikely to be a manipulator.
Thank you for viewing the detailed overview of The Trade Desk's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
Jeffrey Terry Green | director, 10 percent owner, officer: President and CEO | 42 N. CHESTNUT STREET, VENTURA CA 93001 |
Jay R Grant | officer: Chief Legal Officer | 225 E. 79TH STREET, APT 12E, NEW YORK NY 10075 |
Laura Schenkein | officer: Chief Financial Officer | C/O THE TRADE DESK, INC., 42 NORTH CHESTNUT STREET, VENTURA CA 93001 |
Gokul Rajaram | director | 301 CONGRESS AVENUE, SUITE 700, AUSTIN TX 78701 |
Andrea Lee Cunningham | director | C/O TRADE DESK, INC., 42 N. CHESTNUT STREET, VENTURA CA 93001 |
Kathryn E Falberg | director | C/O AXOVANT SCIENCES, INC., 320 WEST 37TH STREET, 5TH FLOOR, NEW YORK NY 10018 |
David B Wells | director | C/O NETFLIX, INC., 100 WINCHESTER CIRCLE, LOS GATOS CA 95130 |
Lise J Buyer | director | 1600 AMPHITHEATRE PARKWAY, MOUNTAIN VIEW CA 94043 |
David Randall Pickles | officer: Chief Technology Officer | 42 N. CHESTNUT STREET, VENTURA CA 93001 |
Blake Jeffrey Grayson | officer: Chief Financial Officer | 2212 EVERETT AVENUE E, SEATTLE WA 98102 |
Eric B Paley | director, 10 percent owner | C/O THE TRADE DESK, INC., 42 N. CHESTNUT ST., VENTURA CA 93001 |
Susan Vobejda | officer: Chief Marketing Officer | 130 EAST RANDOLPH STREET, 7TH FLOOR, CHICAGO IL 60601 |
Michelle Hulst | officer: Chief Operating Officer | 130 MERCHANT STREET, HONOLULU HI 96813 |
Brian John Stempeck | officer: Chief Client Officer | 42 N. CHESTNUT STREET, VENTURA CA 93001 |
Vivian Yang | officer: Chief Legal Officer | C/O VIANT TECHNOLOGY INC., 2722 MICHELSON DRIVE, SUITE 100, IRVINE CA 92612 |
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